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V. E. Turlapov
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2020 – today
- 2023
- [j12]Maxim Lysov, Konstantin Pukhkiy, Evgeny Vasiliev, Alexandra Getmanskaya, Vadim Turlapov:
Ensuring Explainability and Dimensionality Reduction in a Multidimensional HSI World for Early XAI-Diagnostics of Plant Stress. Entropy 25(5): 801 (2023) - 2022
- [j11]Maxim Lysov, Irina Maximova, Evgeny Vasiliev, Alexandra Getmanskaya, Vadim Turlapov:
Entropy as a High-Level Feature for XAI-Based Early Plant Stress Detection. Entropy 24(11): 1597 (2022) - [j10]A. A. Getmanskaya, Nikolai A. Sokolov
, V. E. Turlapov:
Multiclass U-Net Segmentation of Brain Electron Microscopy Data Using Original and Semi-Synthetic Training Datasets. Program. Comput. Softw. 48(3): 164-171 (2022) - 2021
- [c6]Irina Maximova, Evgeny Vasiliev, Alexandra Getmanskaya, Dmitry Kior, Vladimir Sukhov, Vladimir Vodeneev
, Vadim Turlapov
:
Study of XAI-capabilities for early diagnosis of plant drought. IJCNN 2021: 1-8 - 2020
- [j9]Sergey E. Slyadnev, V. E. Turlapov:
Simplification of CAD Models by Automatic Recognition and Suppression of Blend Chains. Program. Comput. Softw. 46(3): 233-243 (2020) - [i4]Dmitry A. Lachinov, Elena Shipunova, Vadim Turlapov:
Knowledge Distillation for Brain Tumor Segmentation. CoRR abs/2002.03688 (2020) - [i3]Dmitry A. Lachinov, Alexandra Getmanskaya, Vadim Turlapov:
Cephalometric Landmark Regression with Convolutional Neural Networks on 3D Computed Tomography Data. CoRR abs/2007.10052 (2020)
2010 – 2019
- 2019
- [j8]Svetlana A. Nosova, V. E. Turlapov:
Detection of Brain Cells in Optical Microscopy Based on Textural Features with Machine Learning Methods. Program. Comput. Softw. 45(4): 171-179 (2019) - [j7]Sergey E. Slyadnev, V. E. Turlapov:
To the Development of Open Source Software for the Reconstruction of CAD Models. Program. Comput. Softw. 45(4): 202-212 (2019) - [c5]Dmitry A. Lachinov
, Elena Shipunova, Vadim Turlapov
:
Knowledge Distillation for Brain Tumor Segmentation. BrainLes@MICCAI (2) 2019: 324-332 - 2018
- [j6]Dmitry A. Lachinov, A. A. Getmanskaya
, V. E. Turlapov:
Refinement of the Coherent Point Drift Registration Results by the Example of Cephalometry Problems. Program. Comput. Softw. 44(4): 248-257 (2018) - [c4]Dmitry A. Lachinov
, Evgeny Vasiliev
, Vadim Turlapov
:
Glioma Segmentation with Cascaded UNet. BrainLes@MICCAI (2) 2018: 189-198 - [c3]Valentin Petrov, Sergey Lebedev, Anna Pirova, Evgeniy Vasilyev, Alexander V. Nikolskiy, Vadim Turlapov, Iosif B. Meyerov
, Grigory V. Osipov:
CardioModel - New Software for Cardiac Electrophysiology Simulation. RuSCDays 2018: 195-207 - [i2]Dmitry A. Lachinov, Evgeny Vasiliev, Vadim Turlapov:
Glioma Segmentation with Cascaded Unet. CoRR abs/1810.04008 (2018) - [i1]Dmitry A. Lachinov, Vadim Turlapov:
The Coherent Point Drift for Clustered Point Sets. CoRR abs/1812.05869 (2018) - 2017
- [j5]Svetlana A. Nosova, Ludmila Snopova, Vadim Turlapov:
Automatic detection of neurons, astrocites, and layers for Nissl staining mouse cortex. J. WSCG 25(2): 143-150 (2017) - [j4]D. Ulyanov, D. K. Bogolepov, Vadim Turlapov
:
Interactive vizualization of constructive solid geometry scenes on graphic processors. Program. Comput. Softw. 43(4): 258-267 (2017) - 2014
- [j3]Nikolay I. Gavrilov, V. E. Turlapov
:
Novel approach to development of direct volume rendering algorithms based on visualization quality assessment. Program. Comput. Softw. 40(4): 174-184 (2014) - 2013
- [c2]Nikolay I. Gavrilov, V. E. Turlapov:
Volume Ray Casting quality estimation in terms of Peak Signal-to-Noise Ratio. Eurographics (Posters) 2013: 7-8 - 2012
- [c1]Nikolay I. Gavrilov, Vadim Turlapov
:
Advanced GPU-based ray casting for bricked datasets. SIGGRAPH Posters 2012: 123 - 2011
- [j2]D. K. Bogolepov, D. P. Sopin, V. E. Turlapov
:
Simplified photon mapping for real-time caustics rendering. Program. Comput. Softw. 37(5): 229-235 (2011)
2000 – 2009
- 2008
- [j1]E. A. Yusov, V. E. Turlapov
:
Adaptive terrain triangulation using the representation of quad trees by vertex textures and wavelet estimation of vertex significance. Program. Comput. Softw. 34(5): 245-256 (2008)
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